Descriptor of features point is vital application of many computer vision tasks. Therefore

this paper presents a novel algorithm to design the descriptor of image feature points based on differential histograms under polar coordinates (HWDH).Firstly

the neighbor area of feature point is divided into nine small patches. Then

Gradient differential is produced by harr wavelet on every small patch and a dominant direction of the feature point is computed by Scale Adapted Harris detector which is improved. Lastly

histogram is generated from the differential statistic. In contrast to other descriptor based on differential histograms， the description generated by our algorithm needn’t to rotate in the around area of feature point. Therefore

it can deduce the error from statistic. Moreover

the comparative experiments illustrated that the proposed algorithm is more rapid and accurate than SIFT.